AI Principal SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems -10358
Extreme Networks, Inc. (company site, opens in a new tab)10+ yrsBengaluruHybridDirect career pageEst. 35–55 LPA
Posted on 2 Sept
Reach people at Extreme Networks, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Extreme Networks, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Define and drive innovative technical vision for AI, distributed systems, and networking platforms.
- Lead end-to-end development of scalable, secure, real-time data processing and AI services including architecture, design, implementation, testing, deployment, and operations.
- Mentor engineering teams and uphold high standards in engineering excellence, system performance, and operational readiness.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field, or equivalent practical experience.
- 10+ years experience in full software development lifecycle and programming (Python, Java, Go, or C++ preferred).
- 3+ years leading design and architecture of large-scale distributed systems on cloud platforms (AWS, Azure, Google Cloud).
- Experience with real-time microservices, distributed data platforms, AI/agentic systems, network telemetry, or large-scale analytics.
Ideal Candidate Profile
- Senior technical leader capable of solving complex, ambiguous problems with pragmatic, production-ready solutions.
- Experienced in building highly scalable, event-driven, real-time systems and AI-driven platforms.
- Proficient in driving technical strategy, mentoring engineers, and fostering innovation in cloud-native distributed environments.